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NIPQ: Noise proxy-based Integrated Pseudo-Quantization

NIPQ: Noise proxy-based Integrated Pseudo-Quantization

2 June 2022
Juncheol Shin
Junhyuk So
Sein Park
Seungyeop Kang
S. Yoo
Eunhyeok Park
ArXivPDFHTML

Papers citing "NIPQ: Noise proxy-based Integrated Pseudo-Quantization"

7 / 7 papers shown
Title
PTQ4VM: Post-Training Quantization for Visual Mamba
PTQ4VM: Post-Training Quantization for Visual Mamba
Younghyun Cho
Changhun Lee
Seonggon Kim
Eunhyeok Park
MQ
Mamba
43
2
0
29 Dec 2024
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs
Yuchen Yang
Shubham Ugare
Yifan Zhao
Gagandeep Singh
Sasa Misailovic
MQ
26
0
0
31 Oct 2024
QT-DoG: Quantization-aware Training for Domain Generalization
QT-DoG: Quantization-aware Training for Domain Generalization
Saqib Javed
Hieu Le
Mathieu Salzmann
OOD
MQ
30
1
0
08 Oct 2024
MetaAug: Meta-Data Augmentation for Post-Training Quantization
MetaAug: Meta-Data Augmentation for Post-Training Quantization
Cuong Pham
Hoang Anh Dung
Cuong C. Nguyen
Trung Le
Dinh Q. Phung
Gustavo Carneiro
Thanh-Toan Do
MQ
44
0
0
20 Jul 2024
QuantNAS for super resolution: searching for efficient
  quantization-friendly architectures against quantization noise
QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise
Egor Shvetsov
Dmitry Osin
Alexey Zaytsev
Ivan Koryakovskiy
Valentin Buchnev
I. Trofimov
Evgeny Burnaev
MQ
23
2
0
31 Aug 2022
Overcoming Oscillations in Quantization-Aware Training
Overcoming Oscillations in Quantization-Aware Training
Markus Nagel
Marios Fournarakis
Yelysei Bondarenko
Tijmen Blankevoort
MQ
111
101
0
21 Mar 2022
Smart at what cost? Characterising Mobile Deep Neural Networks in the
  wild
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild
Mario Almeida
Stefanos Laskaridis
Abhinav Mehrotra
L. Dudziak
Ilias Leontiadis
Nicholas D. Lane
HAI
112
44
0
28 Sep 2021
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